Areas of focus are: Computer Architecture, Computer Graphics and Vision, Computer Networks and Systems, Image Processing, Computational Intelligence, and Bioengineering.
Areas of Focus are: Systems and Controls, Signal Processing, Image Processing, Communications, Optoelectronics, Applied Electromagnetics, Microelectronics, Power and Energy, and Bioengineering.
In addition to all Office of Graduate Studies requirements for the masters degrees, the department also requires at least one credit hour of graduate seminar ECE 590. All candidates for the M.S. degree must satisfactorily pass a final examination, which is the thesis defense for Plan I students and project presentation based on a short term project for Plan II students. Among the required courses (a minimum of 15 hours in ECE for Plan I students and 18 hours in ECE for Plan II students), four courses will be specified by the area of focus chosen by students. Other program information is available at http://ece.unm.edu.
The Optics Program is jointly administered by the Department of Physics and Astronomy and the Department of Electrical and Computer Engineering. It features an internship option under which a student can apply qualified industrial/government laboratory research along with successfully completed course work toward the degree.
Current research areas: advanced materials, atom optics, biomedical optics, fiber optics, laser physics, lithography, nanostructures, nonlinear optics, optical imaging, optical sensors, optoelectronics, photonic integrated circuits, quantum optics, spectroscopy, and ultra-fast phenomena.
Emphases are: Computer Architecture, High Performance Computing, Computer Networks and Systems, Image Processing, and Computational Intelligence.
Emphases are: Control Systems, Signal Processing, Image Processing, Communications, Optoelectronics, Applied Electromagnetics, and Microelectronics.
In addition to the general University doctoral degree requirements listed in the Graduate Program section of the UNM Catalog, students pursuing a Ph.D. must choose an area of emphasis and take three courses (9 hours) from this area of emphasis, one course (3 hours) from another computer engineering or electrical engineering emphasis, and 42 hours of technical electives. The department also requires at least two credit hours of ECE 590, Graduate Seminar. No more than 9 hours of problems courses (ECE 551 or 651) will count toward the Ph.D. Other program information is available at http://www.ece.unm.edu.
A student admitted into the Ph.D. program is expected to take the Qualifying examination within three semesters (excluding summer sessions) and pass the Qualifying examination within five semesters (excluding summer sessions) from his/her admittance into the program, unless otherwise determined by the academic advisor and the ECE graduate chair.
All candidates must pass a Final Examination (Defense of Dissertation). The Dissertation Committee conducts the defense of the dissertation.
The Optics Program is jointly administered by the Department of Physics and Astronomy and the Department of Electrical and Computer Engineering. Considerable interactions occur with the Center for High Technology Materials and the optical research groups at the Air Force Research Laboratory, Sandia National Laboratories, Los Alamos National Laboratory and other organizations in Albuquerque that offer extensive opportunities for research work toward the degree.
Current research areas: ultra-fast optics and photonics, laser physics and engineering, optical imaging, quantum optics, optoelectronic devices, fiber lasers and amplifiers, optical communication, optical materials, optical lithography, nonlinear optics, integrated optics, quantum computing, bio-optics, non-photonics, and laser cooling.
This department participates in the interdisciplinary NSMS program; for more information, see the Graduate Interdisciplinary Studies section of this catalog.
This dual degree program leading to a Master of Business Administration and a Master of Science in Electrical Engineering or Master of Science in Computer Engineering is aimed at electrical or computer engineering graduate students who have interest in a career that requires graduate level training in both business and electrical or computer engineering. The main advantage of a dual degree program is that it minimizes the time, expense and coursework for earning both graduate degrees, one from the School of Engineering (SOE) and the other from the Anderson Schools of Management (ASM). The advantage is realized by sharing courses between the two degrees as stipulated in the program. A requirement of a dual degree program is that both degrees must be earned and granted simultaneously. Hence, one degree is not awarded even if its requirements are fulfilled. Withdrawal from the program entails an application to restart down a path that leads to the completion of degree the student desires. In some cases, this may mean additional course requirements.
For those Electrical and Computer Engineering students pursuing the 3/2 MBA program, the double master’s program must be entered soon after becoming a graduate student. (See http://mba.mgt.unm.edu/future/32.asp for more information on the 3/2 M.B.A. program). In addition to fulfilling the M.B.A. requirements from the ASM after receiving the bachelor’s degree from the SOE, the 3/2 Electrical and Computer Engineering student must earn at least eighteen hours in ECE courses including nine hours in an area of study as described in the Plan II requirements of the Electrical and Computer Engineering Graduate Student Handbook. The M.B.A. requirements can be found at the ASM website: http://www.mgt.unm.edu.
a) 12 additional hours in core M.B.A. curriculum (MGMT 520, 522, 526, 598)
b) 12 additional hours in elective M.B.A. courses
c) Maximum 6 hours (ECE) outside ASM
d) 48 M.B.A. curriculum hours total.
The Electrical and Computer Engineering graduate student who did not complete his/her B.S.E.E. or B.S.C.E. degree requirements under the 3/2 M.B.A. program is also eligible to enter the double master’s program. In addition to fulfilling the M.B.A. requirements from the ASM, the non-3/2 ECE graduate student must earn at least eighteen hours in ECE courses including nine hours in an area of study as described in the Plan II requirements of the ECE Graduate Student Handbook. The M.B.A. requirements can be found at the ASM website:http://www.mgt.unm.edu.
a) 30 hours in core M.B.A. curriculum (MGT 501, 502, 504, 506, 508, 511, 520, 522, 526, 598, excluding waivers)
b) 12 additional hours in elective M.B.A. courses
c) Maximum 6 hours (ECE) outside ASM
d) 48 M.B.A. curriculum hours total.
This means 27 extra hours must be taken to obtain the M.B.A. degree for a total of 60 semester hours. (Waivers can be earned for ECE 340, ECON 300 and other courses taken during undergraduate/graduate programs).
Areas of focus are: Computer Architecture, Computer Graphics and Vision, Computer Networks and Systems, Image Processing, and Computational Intelligence.
Courses
ECE 101. Introduction to Electrical and Computer Engineering. (1)
Insight into electrical engineering is gained through videos, “hands-on” experiments, use of computer software to learn basic problem-solving skills and a team-oriented design project.
ECE 131. Programming Fundamentals. (3)
Fundamental programming concepts, including consideration of abstract machine models with emphasis on the memory hierarchy, basic programming constructs, functions, parameter passing, pointers and arrays, file I/O, bit-level operations and interfacing to external devices.
ECE 203. Circuit Analysis I. (3)
Basic elements and sources. Energy and power. Ohm's law and Kirchhoff's laws. Resistive networks, node and loop analysis. Network theorems. First-order and second-order circuits. Sinusoidal sources and complex representations: impedance, phasors, complex power. Three-phase circuits.
Prerequisite: ECE 131 and MATH 163. Pre- or Corequisite: MATH 316 and PHYC 161.
ECE 206L. Instrumentation. (2)
Introduction to laboratory practices and the use of test equipment. Measurements on basic electrical components, dc and ac circuits using ohmmeters, voltmeters, ammeters and oscilloscopes. Circuit simulation.
Prerequisite: 203 and ENGL 102
ECE 213. Circuit Analysis II. (3)
General transient analysis of electrical circuits. Laplace transform with applications to circuit analysis. State-space equations. Fourier series analysis. The network function; convolution; frequency response.
Prerequisite: 203 and MATH 316. Corequisite: MATH 314
ECE 231. Intermediate Programming and Engineering Problem Solving. (3)
Introducton to elementary data structures, program design and computer-based solution of engineering problems. Topics include use of pointers, stacks, queues, linked lists, trees, graphs, systems and device-level programming and software design methodology.
Prerequisite: ECE 131
ECE 238L. Computer Logic Design. (4)
Binary number systems. Boolean algebra. Combinational, sequential and register transfer logic. VHDL. Arithmetic/logic unit. Memories, computer organization. Input-output. Microprocessors.
Prerequisite: ECE 131
ECE **314. Signals and Systems. (3)
Continuous and discrete time signals and systems; time and frequency domain analysis of LTI systems, Fourier series and transforms, discrete time Fourier series/transform sampling theorem, block diagrams, modulation/demodulation, filters.
Prerequisite: 213 and MATH 264
ECE **321L. Electronics I. (4)
Introduction to diodes, bipolar and field-effect transistors. Analysis and design of digital circuits, gates, flip-flops and memory circuits. Circuits employing operational amplifiers. Analog to digital and digital to analog converters.
Prerequisite: 213
ECE **322L. Electronics II. (4)
Analysis, design, and characterization of linear circuits including operational amplifiers. Design of biasing and reference circuits, multistage amplifiers, and feedback circuits.
Prerequisite: 321L
ECE 330. Software Design. (3)
Design of software systems using modern modeling techniques. Relationship between software design and process, with emphasis on UML and its interface application code. Exposure to design patterns, software frameworks, and software architectural paradigms.
Prerequisite: 231
ECE **331. Data Structures and Algorithms. (3)
An introduction to data structures and algorithms. Topics include asymptotic notation recurrence relations, sorting, hash tables, basic priority queues, balanced search trees and basic graph representation and search.
Prerequisite: 231 and MATH 327 Corequisite: 340
ECE **335. Integrated Software Systems. (3)
Course considers design principles, implementation issues, and performance evaluation of various software paradigms in an integrated computing environment. Topics include performance measurement and evaluation, program optimization for the underlying architecture, integration and security for large-scale software systems.
Prerequisite: 330 and 337
ECE **337. Introduction to Computer Architecture and Organization. (3)
Survey of various levels of computer architecture and design; microprogramming and processor architecture, assembly language programming, operating system concepts and input/output via the operating system. Three lectures, 1 hr. lab.
Prerequisite: 231 and 238L
{Spring}
ECE **338. Intermediate Logic Design. (3)
Advanced combinational circuits; XOR and transmission gates; computer-based optimization methods; RTL and HDL; introduction to computer aided design; advanced sequential machines; asynchronous sequential machines; timing issues; memory and memory interfacing; programmable logic devices; and VLSI concepts.
Prerequisite: 238L
ECE **340. Probabilistic Methods in Engineering. (3)
Introduction to probability, random variables, random processes, probability distribution/density functions, expectation correlation, power spectrum, WSS processes, confidence internals, transmission through LIT systems, applications of probability.
Prerequisite: 314 and MATH 314.
ECE 341 [*441]. Introduction to Communication Systems. (3)
Amplitude/frequency modulation, pulse position/amplitude modulation, probabilistic noise model, AWGN, Rice representation, figure of merit, phase locked loops, digital modulation, introduction to multiple access systems.
Prerequisite: 314 and 340.
ECE **344L. Microprocessors. (4)
Computers and Microprocessors: architecture, assembly language programming, input/output and applications.
Prerequisite: 206L and 238L and 321L
Three lectures, 3 hours lab.
ECE 345 . Introduction to Control Systems. (3)
Introduction to the feedback control problem. Plant modeling, transfer function and state-space descriptions. Stability criteria. Nyquist and root-locus design. Introduction to analytical design. Z-transforms and digital control. Laboratory design project.
Prerequisite: 314
ECE **360. Electromagnetic Fields and Waves. (3)
Maxwell’s equations, plane wave propagation, waveguides and transmission lines, transient pulse propagation and elementary dipole antenna.
Prerequisite: 213 and PHYC 161 and MATH 264
ECE **371. Materials and Devices. (3 to a maximum of 6 Δ)
Introduction to quantum mechanics, crystal structures, insulators, metals, and semiconductor material properties, bipolar, field effect and light emitting devices.
Prerequisite: PHYC 262
ECE 381. Introduction to Electric Power Systems. (3 )
Provides in-depth look at various elements of power systems including power generation, transformer action, transmission line modeling, symmetrical components, pf correction, real/quadrature power calculations, load flow analysis and economic considerations in operating systems.
Prerequisite: 213.
ECE 412. Introduction to Computer Graphics: Scanline Algorithms. (3)
(Also offered as CS 412)
This course is an introduction to the technical aspects of raster algorithms in computer graphics. Students will learn the foundational concepts of 2-D and 3-D graphics as they relate to real-time and offline techniques. Students will develop a video game as a final project to demonstrate the algorithms learned in class.
Prerequisite: 331 or CS 361L
{Fall}
ECE 413. Introduction to Ray and Vector Graphics. (3)
(Also offered as CS 413)
Topics include ray-geometry intersections, viewing, lenses, local/global illumination, procedural textures/models, spline curves and surfaces, and statistical integration for realistic image synthesis. Students will write a raytracing renderer from scratch, exploring high performance implementations and realistic rendering.
Prerequisite: CS 361L or ECE 331
ECE 419. Senior Design I. (3)
Design methodology and development of professional project oriented skills including communication, team management, economics and engineering ethics. Working in teams, a proposal for a large design is prepared in response to an industrial or in-house sponsor.
Restriction: ECE major and senior standing
ECE 421 / 523. Analog Electronics. (3)
Design of advanced analog electronic circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.
Prerequisite: 322L
ECE *424. Digital VLSI Design. (3)
CMOS logic gates and circuits, transistor implementations, applications to sequential circuits, VLSI data path and controller design, VLSI routing issues and architectures, RTL and VLSI impacts and applications to microprocessor design.
Prerequisite: 321L and 338
ECE *432. Introduction to Parallel Processing. (3)
(Also offered as CS 442)
Machine taxonomy and introduction to parallel programming. Performance issues, speed-up and efficiency. Interconnection networks and embeddings. Parallel programming issues and models: control parallel, data parallel and data flow. Programming assignments on massively parallel machines.
Prerequisite: (331 or CS 351L) and (337 or CS 341L)
ECE **435. Software Engineering. (3)
Management and technical issues including business conduct and ethics related to the design of large engineering projects. Student teams will address the design, specification, implementation, testing and documentation of a large hardware/software project.
Prerequisite: 331 and 335
ECE *437. Computer Operating Systems. (3)
(Also offered as CS 481)
Fundamental principles of modern operating systems design, with emphasis on concurrency and resource management. Topics include processes, interprocess communication, semaphores, monitors, message passing, input/output device, deadlocks memory management, files system design.
Prerequisite: (330 and 337) or CS 341L
ECE *438. Design of Computers. (3)
Computer architecture; design and implementation at HDL level; ALU, exception handling and interrupts; addressing; memory; speed issues; pipelining; microprogramming; introduction to distributed and parallel processing; buses; bus protocols and bus masters. CAD project to include written and oral presentations.
Prerequisite: 337 and 338 and 344L
ECE *439. Introduction to Digital Signal Processing. (3)
Bilateral Z transforms, region of convergence, review of sampling theorem, aliasing, the discrete Fourier transform and properties, analysis/design of FIR/IIR filters, FFT algorithms spectral analysis using FFT.
Prerequisite: 314
ECE *440. Introduction to Computer Networks. (3)
(Also offered as CS 485)
Theoretical and practical study of computer networks, including network structures and architectures. Principles of digital communications systems. Network topologies, protocols and services. TCP/IP protocol suite. Point-to-point networks; broadcast networks; local area networks; routing, error and flow control techniques.
Prerequisite: 330 and 337 Corequisite: 340
ECE *442. Introduction to Wireless Communications. (3)
The course is an introduction to cellular telephone systems and wireless networks, drawing upon a diversity of electrical engineering areas. Topics include cellular concepts, radio propagation, modulation methods and multiple access techniques.
Prerequisite: 314 and 360
ECE *443. Hardware Design with VHDL. (3)
The VHDL hardware description language is used for description of digital systems at several levels of complexity, from the system level to the gate level. Descriptions provide a mechanism for documentation, for simulation and for synthesis.
Prerequisite: 338
ECE *446. Design of Feedback Control Systems. (3)
Modeling of continuous and sampled-data control systems. State-space representation. Sensitivity, stability and optimization of control systems. Design of compensators in the frequency and time domains. Phase-plane, describing function design for non-linear systems, and laboratory design project.
Prerequisite: 345
ECE 448 / 548. Fuzzy Logic with Applications. (3)
Theory of fuzzy sets; foundations of fuzzy logic. Fuzzy logic is shown to contain evidence, possibility and probability logics; course emphasizes engineering applications; control, pattern recognition, damage assessment, decisions; hardware/software demonstrations.
ECE 460 / 560. Introduction to Microwave Engineering. (3)
This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.
Prerequisite: 360
ECE *463. Advanced Optics I. (3)
(Also offered as PHYC 463)
Electromagnetic theory of geometrical optics, Gaussian ray tracing and matrix methods, finite ray tracing, aberrations, interference and diffraction.
Prerequisite: PHYC 302
ECE *464. Laser Physics . (3)
(Also offered as PHYC 464)
Resonator optics. Rate equations; spontaneous and stimuated emission; gas, semiconductor and solid state lasers, pulsed and mode-locked laser techniques.
Prerequisite: 360 or PHYC 406
ECE 469 / 569. Antennas for Wireless Communication Systems. (3)
Aspects of antenna theory and design; radiation from dipoles, loops, apertures, microstrip antennas and antenna arrays.
Prerequisite: 360
ECE *471. Materials and Devices II. (3)
An intermediate study of semiconductor materials, energy band structure, p-n junctions, ideal and non-ideal effects in field effect and bipolar transistors.
Prerequisite: 360 and 371
ECE 474L / 574L. Microelectronics Processing. (3)
Fledderman, Hersee
(Also offered as NSMS 574L)
Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.
ECE *475. Introduction to Electro-Optics and Opto-Electronics. (3)
Basic electro-optics and opto-electronics, with engineering applications. Interaction of light with matter. Introduction to optics of dielectrics, metals and crystals. Introductory descriptions of electro-optic, acousto-optic and magneto-optic effects and related devices. Light sources, displays and detectors. Elementary theory and applications of lasers, optical waveguides and fibers.
Prerequisite: 371
ECE 482 / 582. Electric Drives and Transformers. (3)
Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.
Prerequisite: 213.
ECE 483/583. Power Electronics. (3)
Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.
Prerquisite: 321L and 371 and 381.
ECE 484 / 584. Photovoltaics. (3)
Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.
Prerequisite: 381 and MATH 121.
ECE 486 / 586. Design for Manufacturability. (3)
(Also offered as ME 486)
Introduction to methods of design for manufacturability. Emphasis is on teamwork and designing to your customer’s needs. This is achieved through statistical methods and computer based systems.
Restriction: senior standing
ECE *487. Semiconductor Factory Design and Operations. (3)
A detailed overview of the operations of an integrated circuit fabrication facility using Sandia’s Microelectronics Development Laboratory as a prototype. Topics include building facilities, equipment, software tracking and personnel.
ECE 488 / 588. Future Energy Systems. (3)
A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.
Prerequisite: 381 and 482 and 483 and 484.
ECE 490. Internship. (3)
Professional practice under the guidance of a practicing engineer. Assignments include design or analysis of systems or hardware, or computer programming. A preliminary proposal and periodic reports are required. The engineer evaluates student’s work; a faculty monitor assigns grade.
Restriction: ECE major and junior standing. (12 hours/week) (24 hours/week in summer session).
Offered on a CR/NC basis only.
ECE 491. Undergraduate Problems. (1-6 to a maximum of 6 Δ)
Registration for more than 3 hours requires permission of department chairperson.
ECE 493. Honors Seminar. (1-3)
A special seminar open only to honors students. Registration requires permission of department chairperson.
ECE 494. Honors Individual Study. (1-6)
Open only to honors students.
Registration requires permission of the department chairperson and of the supervising professor.
ECE 495 / 595. Special Topics. (1-4 to a maximum of 9, 1-4 to a maximum of 15 Δ)
Restriction: ECE major and senior standing.
ECE 500. Theory of Linear Systems. (3)
State space representation of dynamical systems. Analysis and design of linear models in control systems and signal processing. Continuous, discrete and sampled representations. This course is fundamental for students in the system areas.
ECE 506. Optimization Theory. (3)
Introduction to the topic of optimization by the computer. Linear and nonlinear programming. The simplex method, Karmakar method, gradient, conjugate gradient and quasi-Newton methods, Fibonacci/Golden search, Quadratic and Cubic fitting methods, Penalty and Barrier methods.
ECE 509. Parallel Algorithms. (3)
(Also offered as CS 509)
Design and analysis of parallel algorithms using the PRAM model, with emphasis on graph algorithms, searching and sorting, and linear algebra applications. Embedding into hypercubic and related networks. Introduction to parallel complexity theory.
Prerequisite: 537
ECE 510. Medical Imaging. (3)
This course will introduce the student to medical imaging modalities (e.g. MRI, Nuclear Imaging, Ultrasound) with an emphasis on a signals and systems approach. Topics will include hardware, signal formation, image reconstruction and application.
ECE 511. Analysis Methods in Functional Magnetic Resonance Imaging. (3)
This course will be an introduction to signal and image processing methods for functional magnetic resonance imaging (fMRI) of the brain.
ECE 512. Advanced Image Synthesis. (3)
(Also offered as CS 512)
Covers image synthesis techniques from perspective of high-end scanline rendering, including physically-based rendering algorithms. Topics: radiometry, stochastic ray tracing, variance reduction, photon mapping, reflection models, participating media, advanced algorithms for light transport.
ECE 513. Real-Time Rendering and Graphics Hardware. (3)
(Also offered as CS 513)
Course covers advanced algorithms in real-time rendering and graphics hardware, bringing students up to speed with cutting edge real-time graphics. Topics: advanced GPU algorithms for graphics and non-graphics applications. Term project required
ECE 514. Nonlinear and Adaptive Control. (3)
Linearization of nonlinear systems. Phase-plane analysis. Lyapunov stability analysis. Hyperstability and Popov stability criterion. Adaptive control systems. Adaptive estimation. Stability of adaptive control systems, backstepping and nonlinear designs.
Prerequisite: 500
ECE 515. Scientific and Information Visualization. (3)
(Also offered as CS 515)
Introduction to scientific and data visualization techniques. Topics: data manipulation, feature extraction, visual display, peer critique of project design, data formats and sampling, geometric extraction, volume visualization, flow visualization, abstract data visualization, user interaction techniques
ECE 516. Computer Vision. (3)
(Also offered as CS 532)
Theory and practice of feature extraction, including edge, texture and shape measures. Picture segmentation; relaxation. Data structures for picture description. Matching and searching as models of association and knowledge learning. Formal models of picture languages.
ECE 517. Pattern Recognition. (3)
(Also offered as CS 531)
Decision functions and dichotomization; prototype classification and clustering; statistical classification and Bayes theory; trainable deterministic and statistical classifiers. Feature transformations and selection.
ECE 518. Synthesis of Nanostructures. (3)
Brinker, Brueck
(Also offered as CHNE, NSMS 518)
Underlying physical and chemical principles (optics, organic and inorganic chemistry, colloid chemistry, surface and materials science) for nanostructure formation using ‘top-down’ lithography (patterned optical exposure of photosensitive materials) and ‘bottom-up’ self-assembly. Labs will synthesize samples.
Prerequisite: NSMS 510
{Spring}
ECE 519. Theory, Fabrication, and Characterization of Nano & Microelectromechanical Systems (NEMS/MEMS). (4 [3])
(Also offered as ME, NSMS 519)
Lectures and laboratory projects on physical theory, design, analysis, fabrication, and characterization of micro and nanosystems. Special attention given to scaling effects involved with operation of devices at nano and microscale.
ECE 520. VLSI Design. (3)
Advanced topics include: lC technologies, CAD tools, gate arrays, standard cells and full custom designs. Design of memories, PLA, I/0 and random logic circuit. Design for testability.
ECE 522. Hardware Software Codesign with FPGAs. (3 to a maximum of 6 Δ)
This course provides an introduction to the design of electronic systems that incorporate both hardware and software components.
Prerequisite: 433.
ECE 523 / 421. Analog Electronics. (3)
Design of advanced analog electronics circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.
ECE 524. Collaborative Interdisciplinary Teaching. (3)
(Also offered as ANTH 624, BIOL 524, CS 524, STAT 524)
Course designed to develop the methods content and assessment of effective interdisciplinary biological courses; Students will develop and teach an undergraduate interdisciplinary topics course. Topics vary.
Restriction: permission of instructor
ECE 525. Hardware-Oriented Security and Trust. (3 to a maximum of 6 Δ)
This course provides an introduction to hardware security and trust primitives and their application to secure and trustworthy hardware systems.
ECE 528. Embedded Systems Architecture. (3)
Development and analysis of techniques and algorithms for use in embedded processor systems. Application of tools implementing solutions to control and data applications involving standard processing paradigms and programmable logic systems.
ECE 531. Error-Correcting Codes. (3)
Efficient insertion of redundant bits into binary data for protection against error; association with linear algebra; sequential coding and decoding logic; arithmetic codes for computational circuits.
ECE 533. Digital Image Processing. (3)
Fundamentals of 2D signals and systems. Introduction to multidimensional signal processing. Applications in digital image processing. Image formation, representation and display. Linear and nonlinear operators in multiple dimensions. Orthogonal transforms representation and display. Image analysis, enhancement, restoration and coding. Students will carry out image processing projects.
ECE 534. Plasma Physics I. (3)
(Also offered as PHYC 534)
Plasma parameters, adiabatic invariants, orbit theory, plasma oscillations, hydromagnetic waves, plasma transport, stability, kinetic theory, nonlinear effects, applications.
ECE 536. Computer System Software. (3)
Course considers design principles, implementation issues and performance evaluation of system software in advanced computing environments. Topics include resource allocation and scheduling, information service provider and manipulation, multithreading and concurrency, security for parallel and distributed systems.
ECE 537. Foundations of Computing. (3)
Computational aspects of engineering problems. Topics include machine models and computability, classification and performance analysis of algorithms, advanced data structures, approximation algorithms, introduction to complexity theory and complexity classes.
ECE 538. Advanced Computer Architecture. (3)
Course provides an in-depth analysis of computer architecture techniques. Topics include high speed computing techniques, memory systems, pipelining, vector machines, parallel processing, multiprocessor systems, high-level language machines and data flow computers.
ECE 539. Digital Signal Processing. (3)
Hilbert spaces, orthogonal basis, generalized sampling theorem, multirate systems, filterbanks, quantization, structures for LTI systems, finite word-length effects, linear prediction, min/max phase systems, multiresolution signal analysis.
ECE 540. Advanced Networking Topics. (3)
Research, design and implementation of high-performance computer networks and distributed systems. High speed networking technologies, multimedia networks, enterprise network security and management, client/server database applications, mobile communications and state-of-the-art internetworking solutions.
ECE 541. Probability Theory and Stochastic Processes. (3)
Axiomatic probability theory, projection theorem for Hilbert spaces, conditioned expectations, modes of stochastic convergence, Markov chains, mean-square calculus, Wiener filtering, optimal signal estimation, prediction stationarity, ergodicity, transmission through linear and nonlinear systems, sampling.
ECE 542. Digital Communication Theory. (3)
Elements of information theory and source coding, digital modulation techniques, signal space representation, optimal receivers for coherent/non-coherent detection in AWGN channels, error probability bounds, channel capacity, elements of block and convolutional coding, fading, equalization signal design.
Prerequisite: 541
ECE 545. Digital Control Systems. (3)
Discrete-time signals and systems. Performance and stability criteria. Design approaches for digital control of analog plants. Sampling and signal quantization. Optimal and adaptive control. Microprocessor implementation of digital control algorithms.
Prerequisite: 500
ECE 546. Multivariable Control Theory. (3)
Hermite, Smith and Smith-McMillan canonic forms for polynomial and rational matrices. Coprime matrix-fraction representations for rational matrices. Bezout identity. Poles and zeros for multivariable systems. Matrix-fraction approach to feedback system design. Optimal linear-quadratic-Gaussian (LQG) control. Multivariable Nyquist stability criteria.
Prerequisite: 500
ECE 547. Neural Networks. (3)
(Also offered as CS 547)
A study of biological and artificial neuron models, basic neural architectures and parallel and distributed processing.
ECE 548 / 448. Fuzzy Logic with Applications. (3)
(Also offered as CE 548)
Theory of fuzzy sets; foundations of fuzzy logic. Fuzzy logic is shown to contain evidence, possibility and probability logics; course emphasizes engineering applications; control, pattern recognition, damage assessment, decisions; hardware/software demonstrations
ECE 549. Information Theory and Coding. (3)
An introduction to information theory. Fundamental concepts such as entropy, mutual information, and the asymptotic equipartition property are introduced. Additional topics include data compression, communication over noisy channels, algorithmic information theory, and applications.
Prerequisite: 340 or equivalent
ECE 550. Social and Ethical Issues in Nanotechnology. (1-3)
Mills, Fledderman
(Also offered as CHNE, NSMS 550)
In this course, students will examine issues arising from this emerging technology, including those of privacy, health and safety, the environment, public perception and human enhancement.
ECE 551. Problems. (1-6 to a maximum of 9 Δ)
ECE 554. Advanced Optics II. (3)
(Also offered as PHYC 554)
Diffractions theory, coherence theory, coherent objects, and incoherent imaging, and polarization.
ECE 555. Foundations of Engineering Electromagnetics. (3)
Mathematical foundations for engineering electromagnetics: linear analysis and method of moments, complex analysis and Kramers-Kronig relations, Green’s functions, spectral representation method and electromagnetic sources.
ECE 557. Pulsed Power and Charged Particle Acceleration. (3)
Principles of pulsed power circuits, components, systems and their relationship to charged particle acceleration and transport. Energy storage, voltage multiplication, pulse shaping, insulation and breakdown and switching. Single particle dynamics and accelerator configurations.
ECE 558. Charged Particle Beams and High Power Microwaves. . (3)
(Also offered as CHNE 546)
Overview of physics of particle beams and applications at high-current and high-energy. Topics include review of collective physics, beam emittance, space-charge forces, transport at high power levels, and application to high power microwave generation.
Prerequisite: 557 and CHNE 546
ECE 559. Internship in Optical Science and Engineering. (3)
(Also offered as PHYC 559)
Students do research and/or development work at a participating industry or government laboratory in any area of optical science and engineering.
ECE 560 / 460. Introduction to Microwave Engineering. (3)
This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.
ECE 561. Engineering Electromagnetics . (3)
Maxwell’s equations, electromagnetic interaction with materials, the wave equation, plane wave propagation, wave reflection and transmission, vector potentials and radiation equations, electromagnetic field theorems, wave propagation in anisotropic media and metamaterials, period structures, dielectric slab waveguides.
Prerequisite: 555
ECE 563. Computational Methods for Electromagnetics. (3)
Computational techniques for partial differential and integral equations: finite-difference, finite-element, method of moments. Applications include transmission lines, resonators, waveguides, integrated circuits, solid-state device modeling, electromagnetic scattering and antennas.
Prerequisite: 561
ECE 564. Guided Wave Optics. (3)
Optical propagation in free space, colored dielectrics, metals, semiconductors, crystals, graded index media. Radiation and guided modes in complex structures. Input and output coupling, cross-coupling mode conversion. Directional couplers, modulators, sources and detectors.
ECE 565. Optical Communication Components and Subsystems. (3)
Optical waveguides, optical fiber attenuation and dispersion, power launching and coupling of light, mechanical and fiber lifetime issues, photoreceivers, digital on-off keying, modulation methods, SNR and BER, QAM and M-QAM, modulation methods, SNR, and BER, intersymbol interference (impact on SNR), clock and data recovery issues, point-to-point digital links, optical amplifiers theory and design (SOA, EDFA, and SRA), simple WDM system concepts, WDM components.
ECE 566. Advanced Optical Subsystems and Networks. (3)
External modulators WDM system design, other multiple access techniques design issues, analog transmission systems nonlinear processes in optical fibers and their impact on system performance, optical networks, photonic packet switching, coherent lightwave systems, basic principles for homodyne and heterodyne detection, noise reduction, relevant digital modulation formats: PSK, ASK, FSK, DPSK. Practical implementation, performance of synchronous and asynchronous heterodyne systems, phase noise, polarization mismatch.
Prerequisite: 565
ECE 569 / 469. Antennas for Wireless Communications Systems. (3)
Aspects of antenna theory and design; radiation from dipoles, loops, apertures, microstrip antennas and antenna arrays.
ECE 570. Optoelectronic Semiconductor Materials and Devices. (3)
Theory and operation of optoelectronic semiconductor devices; semiconductor alloys, epitaxial growth, relevant semiconductor physics (recombination processes, heterojunctions, noise, impact ionization), analysis of the theory and practice of important OE semiconductor devices (LEDs, Lasers, Photodetectors, Solar Cells).
Prerequisite: 471 or 572
ECE 572. Semiconductor Physics. (3)
Sigmon
(Also offered as NSMS 572)
Crystal properties, symmetry and imperfections. Energy bands, electron dynamics, effective mass tensor, concept and properties of holes. Equilibrium distributions, density of states, Fermi energy and transport properties including Boltzmann’s equation. Continuity equation, diffusion and drift of carriers.
Prerequisite: 471
ECE 574L / 474L. Microelectronics Processing. (3)
Fledderman, Hersee
(Also offered as NSMS 574L)
Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.
ECE 575. Junction Devices. (3)
Advanced junction devices including VLSI bipolar transistors, Si-Ge and III-V HBTs, high-level injection, high-frequency devices.
Prerequisite: 471 or 572
ECE 576. Modern VLSI Devices. (3)
Review of the evolution of VLSI technology and basic device physics. Detailed analysis of MOSFET devices, CMOS device design including device scaling concepts.
Prerequisite: 471 or 572
ECE 577. Fundamentals of Semiconductor LEDs and Lasers. (3)
Carrier generation and recombination, photon generation and loss in laser cavities, density of optical modes and blackbody radiation, radiative and non-radiative processes, optical gain, spontaneous and stimulated emission, Fermi’s golden rule, gain and current relations, characterizing real diode lasers, dynamic effects, rate equation; small signal and large signal analysis, radiative intensity noise and linewidth.
Prerequisite: 572
ECE 578. Advanced Semiconductor Lasers. (3)
Scattering matrix theory, S and T matrices, gratings, DBR and DFB lasers, perturbation and coupled-mode theory, photonic integrated circuits, tunable lasers, directional couplers.
Prerequisite: 577
ECE 580. Advanced Plasma Physics. (3)
(Also offered as PHYC 580)
Prerequisite: 534 or PHYC 534
ECE 581. Colloidal Nanocrystals for Biomedical Applications. (3)
(Also offered as BIOM, NSMS 581)
Intended for students planning careers combining engineering, materials science, and biomedical sciences. Covers synthesis, nanocrystals characterization, biofunctionalization, biomedical nanosensors, FRET-based nanosensing, molecular-level sensing/imaging, and applications in cell biology, cancer diagnostics and therapy, neuroscience, and drug delivery.
ECE 582 / 482. Electric Drives and Transformers. (3)
Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.
Prerequisite: 213.
ECE 583/483. Power Electronics. (3)
Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.
Prerequisites: 321L and 371 and 381.
ECE 584 / 484. Photovoltaics. (3)
Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.
Prerequisite: 381 and MATH 121.
ECE 585. Modern Manufacturing Methods. (3)
(Also offered as ME 585)
Study of business of manufacturing, emphasizing modern approaches. Topics include: U.S. manufacturing dilemma; JIT, kanban, pull manufacturing, quality; modeling; design for production; manufacturing economics; management issues; DIM; case studies.
ECE 586 / 486. Design for Manufacturability. (3)
(Also offered as ME 586)
Introduction to methods of design for manufacturability (DFM). Emphasis is on teamwork and designing your customers needs. This is achieved through statistical methods and computer based systems.
ECE 588 / 488. Future Energy Systems. (3)
A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.
Prerequisite: 381 and 582 and 583 and 584.
ECE 590. Graduate Seminar. (1 to a maximum of 2 Δ)
Offered on a CR/NC basis only.
ECE 591. Integrating Nanotechnology with Cell Biology and Neuroscience Seminar. (1, no limit Δ)
Graduate seminar on Integrating Nanotechnology with Cell Biology and Neuroscience. Grades based on active participation, including oral presentation.
ECE 594. Complex Systems Theory. (3)
Advanced topics in complex systems including but not limited to biological systems social and technological networks, and complex dynamics.
Prerequisite: graduate standing
ECE 595 / 495. Special Topics. (1-4 to a maximum of 15, 1-4 to a maximum of 9 Δ)
ECE 599. Master’s Thesis. (1-6, no limit Δ)
Offered on a CR/NC basis only.
ECE 609. Advanced Parallel Algorithms. (3)
(Also offered as CS 609)
Design and analysis of advanced parallel algorithms, parallel complexity theory, ideal and realistic models of parallel computation, and experimental parallel algorithmics; emphasis on combinatorial problems.
Prerequisite: 509 or CS 509
ECE 620. Topics in Interdisciplinary Biological and Biomedical Sciences. (3, unlimited Δ)
(Also offered as ANTH 620, BIOL 520, CS 520, STAT 520)
Varying interdisciplinary topics taught by collaborative scientists from UNM, SFI, and LANL.
ECE 633. Advanced Topics in Image Processing. (3 to a maximum of 9 Δ)
Advanced topics including but not limited to computational, mathematical, multi-scale, and spatial statistical methods for multi-dimensional signal processing, multi-spectral imagery, image and video processing.
ECE 637. Topics in Algorithms. (3 to a maximum of 9 Δ)
Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.
Prerequisite: 537
ECE 638. Topics in Architecture and Systems. (3 to a maximum of 9 Δ)
Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.
Prerequisite: 538
ECE 642. Detection and Estimation Theory. (3)
Hypothesis testing; Karhunen-Loeve representation; optimal detection of discrete- and continuous-time signals; ML, MMSE, and MAP estimation; sufficient statistics, estimation error bounds; Wiener and Kalman-Bucy filtering; detection/receivers for multiuser and multipath fading channels.
Prerequisite: 541
ECE 649. Topics in Control Systems. (3 to a maximum of 9 Δ)
Prerequisite: 546
ECE 651. Problems. (1-6 to a maximum of 9 Δ)
ECE 661. Topics in Electromagnetics. (3)
Topics include advanced antenna theory, electromagnetic scattering and propagation, electromagnetic compatibility, low temperature plasma science, advanced plasma physics, and other subjects in applied electromagnetics.
Prerequisite: 561
ECE 699. Dissertation. (3-12, no limit Δ)
Offered on a CR/NC basis only.
